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They provide a framework of meta-analysis under heterogeneity by using a confidence density function and reparametrization of the problem setting.
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Confidence intervals (CI) were computed using a confidence level of 95%.
Besides, if we know a priori the probability density of each uncertain parameter, we can synthesize interval observers with guaranteed confidence levels and provide a confidence density for the state.
Miyazawa et al. [16] used a confidence value cutoff to exclude genotype calls with low confidence.
Using a 95% confidence level and a confidence interval of 0.05, the sample size was 264.
Think about using a keyword density analyzer.
Two-sided confidence intervals (CIs) were computed using a 95% confidence level.
The resulting curves are plotted using a 95% confidence interval.
Using a 95%% confidence level, optimal parameter combinations are determined using the Taguchi method.
All analyses were completed using a 95% confidence interval.
Analysis of student confidence used a summed confidence score for the test items.
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